Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Book Image

Learning SciPy for Numerical and Scientific Computing Second Edition

Overview of this book

Table of Contents (15 chapters)
Learning SciPy for Numerical and Scientific Computing Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Summary


In this chapter, we explored signal processing (any dimensional), including the treatment of signals in frequency space, by means of their Discrete Fourier Transforms. These correspond to the fftpack, signal, and ndimage modules.

The Chapter 6, SciPy for Data Mining, will explore the tools included in SciPy to approach Statistical and Data Mining problems. In addition to standard statistical quantities, special topics like kernel estimation, statistical distances, and the clustering of big data sets will be presented.